Triple
T22980781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kismet (1953 musical) |
E571456
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Charles Lederer |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charles Lederer | Statement: [Kismet (1953 musical), producer, Charles Lederer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Lederer Context triple: [Kismet (1953 musical), producer, Charles Lederer]
-
A.
Charles Lederer
chosen
Charles Lederer was an American screenwriter known for his sharp, witty scripts on classic Hollywood films such as "His Girl Friday" and "Gentlemen Prefer Blondes."
-
B.
Francis Lederer
Francis Lederer was a Czech-born American actor known for his suave leading-man roles in European and Hollywood films from the 1920s through the 1940s.
-
C.
Oscar Lerman
Oscar Lerman was a British nightclub owner and art dealer best known as the husband of novelist Jackie Collins.
-
D.
Harold Hecht
Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
-
E.
Robert Tomarkin
Robert Tomarkin was the husband of Academy Award–winning American actress Dorothy Malone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829589548190863619aebcae026c |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.